Data Scientist Development Program (DSDP) - Entry to Expert Level (MD)

Summary

Data science is present in every aspect of NSA's mission to protect the nation. By joining our team, you will tackle challenging problems by leveraging big data, high-performance computing, machine learning and more. We are looking for senior-level data scientists who believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will develop solutions for complex data problems, taking full advantage of NSA's capabilities to tackle the priority.

Duties

Data science at NSA uses elements of mathematics, statistics, computer science and application-specific knowledge to gather, make, and communicate principled conclusions from data. It encompasses AI engineering, data engineering, ML Ops engineering, and human perception and cognition engineering, in addition to traditional applications of data science. Responsibilities may include: - Exploring data analysis and model-fitting to reveal data features of interest - Using machine-learned predictive modeling - Constructing usable data sets from multiple sources to meet customer needs - Identifying and analyzing anomalous data (including metadata) - Developing conceptual design and models to address mission requirements - Developing qualitative and quantitative methods for characterizing datasets in various states - Performing analytic modeling, scripting and/or programming - Working collaboratively and iteratively throughout the data-science lifecycle - Designing and developing analytics and techniques for analysis - Analyzing data using mathematical and statistical methods - Evaluating, documenting and communicating research processes, analyses and results to customers, peers and leadership - Creating interpretable visualizations

Qualifications and evaluation

The ideal candidate has a desire for continual learning along with excellent communication (oral and written), and interpersonal skills who is: - Accountable - Proactive - Detail oriented - Able to solve complex problems - Proficient with critical thinking and reasoning to make analytic determinations - Effective at working in a collaborative team environment - Able to bridge the gap with both technical and non-technical audiences - Able to provide technical leadership Knowledge, skills, and relevant experience in programming, formal or informal leadership and one or more of the following are required: - Designing and implementing machine learning - Data mining - Statistical analysis - Statistical consulting - Artificial intelligence development - Computational science - Software engineering - Technical writing - Data visualization - Data engineering Please attach a copy of your resume and all transcripts (unofficial are fine) as part of your application to expedite application processing.

Education

Note that different degree fields have different requirements as described below. Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework requirements. Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence). Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence).

How to apply

https://apply.intelligencecareers.gov/job-description/1261715

Required documents

The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility.

Additional information

Pay: Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Salary Range: $87,362 - $197,200 (Entry/Developmental, Full Performance, Senior, Expert) Salary range varies by location, work level, and relevant experience to the position. Training will be provided based on the selectee's needs and experience. Benefits: NSA offers a comprehensive benefits package. Work Schedule: This is a full-time position, Monday - Friday, with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).